S1: Supplementary figures: referenced in paper

Fig S1A. Annual change in cumulative human impacts

Annual change in CHI estimated using a linear regression model from 2003 to 2013 for each raster cell.

Fig S1B. Categories of annual change in cumulative impacts

Categories of annual change in CHI based on linear model estimates of slope from CHI values from 2003 to 2013. Areas are identified as decreasing CHI (slope < 0), and increasing CHI when: >0, >0.1, and >0.15.

Fig S1C. Individual impact trends (scaled to SST)

Impact trends for each of the 14 impacts. Impacts are separated by major groups: climate change, shipping, land-based, and fishing (commercial and artisanal). All maps use the same color scale, to describe the relative contribution of each impact to the cumulative impacts.

Climate Change

Shipping

Land-based

Fishing

Fig S1D. SST influence on cumulative impact and trend

Sea surface temperature was, by far, the largest driver of global (but not coastal) cumulative impacts and annual change in cumulative impacts. Left figures exclude SST and right figures include SST.

Fig S1E. Annual change in impacts for countries excluding SST and SLR

Annual change in impacts for 3nm offshore area for 220 countries. Sea surface temperature and sea level rise are not included to better examine the influence of the remaining impacts cumulative impacts. SST and SLR were the largest drivers of global change, but other impacts were also important.

Fig S1F. Country annual change in cumulative impacts vs. cumulative impacts without SST and SLR

Comparison of annual change in cumulative impacts when sea surface temperature and sea level rise are included vs. excluded. Most countries have increasing cumulative impacts even when sea surface temperature and sea level rise are excluded, but the magnitude of change is much smaller. Red solid line indicates 1:1 relationship.